General Physics I
ORAL · F07 · ID: 2770703
Presentations
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Applying Machine Learning to Predict Electron Transfer Kinetics From Voltammetry Experiments
ORAL
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Publication: A.C. Adams, M.O. Seifi, A.P Wettasinghe, Jason D. Slinker, Applying Machine Learning to Predict Electron Transfer Kinetics from Voltammetry Experiments. Analytical Chemistry. (In Review)
A.C. Adams, S. Jha, D.J. Lary, J.D. Slinker. Machine Learning for Estimating Electron Transfer Rates from Square Wave Voltammetry. ChemPlusChem (2022)Presenters
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Austen C Adams
University of Texas at Dallas
Authors
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Austen C Adams
University of Texas at Dallas
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Preparation and characterization of few-layer ReS<sub>2</sub>
ORAL
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Presenters
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Aravind Karthigeyan
University of Texas at Austin
Authors
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Aravind Karthigeyan
University of Texas at Austin
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Parth Dave
University of Texas at Austin
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Alex Stram
University of Texas at Austin
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Keji Lai
University of Texas at Austin
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Positron Impact Induced Secondary Electron Spectra of Graphene and Graphite
ORAL
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Publication: 1. P. Sau et al. "Positron Impact Induced Secondary Electron Spectra of Graphene and Graphite" to be submitted soon to Applied Physics Letters (APL)
Presenters
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Pratyanik Sau
University of Texas at Arlington
Authors
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Pratyanik Sau
University of Texas at Arlington
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Nicholas Hancock
University of Texas at Arlington
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Varghese Chirayath
University of Texas at Arlington
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ilker Parmaksiz
University of Texas at Arlington
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Ali Koymen
UT Arlington, University of Texas at Arlington
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Alex H Weiss
UT Arlington, University of Texas at Arlington
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Silicon Module Quality Control Process for the CMS High Granularity Calorimeter using ML Tools
ORAL
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Presenters
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Abhinav Gupta
Texas Tech University
Authors
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Abhinav Gupta
Texas Tech University
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Wave and turbulent stress transport equations for flow over surface waves
ORAL
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Presenters
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Ali Bizhan Pour
the university of Texas at Dallas
Authors
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Ali Bizhan Pour
the university of Texas at Dallas
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Fabrice Veron
university of delaware
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Kianoosh Yousefi
University of Texas at Dallas
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